Jon S. Robertson

2.1k total citations
32 papers, 1.3k citations indexed

About

Jon S. Robertson is a scholar working on Plant Science, Genetics and Ecology. According to data from OpenAlex, Jon S. Robertson has authored 32 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Plant Science, 10 papers in Genetics and 8 papers in Ecology. Recurrent topics in Jon S. Robertson's work include Remote Sensing in Agriculture (8 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Smart Agriculture and AI (8 papers). Jon S. Robertson is often cited by papers focused on Remote Sensing in Agriculture (8 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Smart Agriculture and AI (8 papers). Jon S. Robertson collaborates with scholars based in United States, China and Japan. Jon S. Robertson's co-authors include Andrew H. Paterson, Changying Li, Shangpeng Sun, Yu Jiang, Rui Xu, Peng W. Chee, John L. Snider, Enid T. McKinley, Mark W. Jackwood and Jessica C. Kissinger and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and Scientific Reports.

In The Last Decade

Jon S. Robertson

32 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jon S. Robertson United States 19 878 347 270 247 233 32 1.3k
Derek Schneider Australia 17 170 0.2× 240 0.7× 106 0.4× 110 0.4× 29 0.1× 43 965
Christian Nansen United States 29 1.6k 1.8× 508 1.5× 290 1.1× 81 0.3× 390 1.7× 144 2.7k
Cameron Clark Australia 29 301 0.3× 253 0.7× 512 1.9× 41 0.2× 246 1.1× 117 2.4k
Kerrigan B. Gilbert United States 12 981 1.1× 222 0.6× 193 0.7× 35 0.1× 454 1.9× 15 1.3k
L. A. González Australia 25 262 0.3× 193 0.6× 607 2.2× 28 0.1× 91 0.4× 90 2.5k
Imke Traulsen Germany 23 99 0.1× 278 0.8× 240 0.9× 122 0.5× 40 0.2× 91 1.5k
David Baird New Zealand 23 243 0.3× 284 0.8× 199 0.7× 31 0.1× 168 0.7× 72 1.4k
Rafael Tassinari Resende Brazil 14 405 0.5× 84 0.2× 302 1.1× 24 0.1× 156 0.7× 47 926
Amots Hetzroni Israel 17 588 0.7× 139 0.4× 153 0.6× 35 0.1× 154 0.7× 36 1.1k
R. J. C. Cantet Argentina 23 398 0.5× 72 0.2× 798 3.0× 42 0.2× 62 0.3× 79 1.2k

Countries citing papers authored by Jon S. Robertson

Since Specialization
Citations

This map shows the geographic impact of Jon S. Robertson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jon S. Robertson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon S. Robertson more than expected).

Fields of papers citing papers by Jon S. Robertson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon S. Robertson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jon S. Robertson. The network helps show where Jon S. Robertson may publish in the future.

Co-authorship network of co-authors of Jon S. Robertson

This figure shows the co-authorship network connecting the top 25 collaborators of Jon S. Robertson. A scholar is included among the top collaborators of Jon S. Robertson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jon S. Robertson. Jon S. Robertson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kong, Wenqian, Robyn Johnston, Michael J. Scanlon, et al.. (2022). Unraveling the genetic components of perenniality: Toward breeding for perennial grains. Plants People Planet. 4(4). 367–381. 1 indexed citations
2.
Kong, Wenqian, T. S. Cox, Valorie H. Goff, et al.. (2021). Comparative evolution of vegetative branching in sorghum. PLoS ONE. 16(8). e0255922–e0255922. 2 indexed citations
3.
Kong, Wenqian, T. S. Cox, Valorie H. Goff, et al.. (2021). Quantitative trait mapping of plant architecture in two BC1F2 populations of Sorghum Bicolor × S. halepense and comparisons to two other sorghum populations. Theoretical and Applied Genetics. 134(4). 1185–1200. 5 indexed citations
4.
Kong, Wenqian, T. S. Cox, Valorie H. Goff, et al.. (2020). Transmission Genetics of a Sorghum bicolor × S. halepense Backcross Populations. Frontiers in Plant Science. 11. 467–467. 9 indexed citations
5.
Jiang, Yu, Changying Li, Rui Xu, et al.. (2020). DeepFlower: a deep learning-based approach to characterize flowering patterns of cotton plants in the field. Plant Methods. 16(1). 156–156. 49 indexed citations
6.
Jiang, Yu, Changying Li, Andrew H. Paterson, & Jon S. Robertson. (2019). DeepSeedling: deep convolutional network and Kalman filter for plant seedling detection and counting in the field. Plant Methods. 15(1). 141–141. 86 indexed citations
7.
Kong, Wenqian, Changsoo Kim, Dong Zhang, et al.. (2018). Genotyping by Sequencing of 393 Sorghum bicolor BTx623 × IS3620C Recombinant Inbred Lines Improves Sensitivity and Resolution of QTL Detection. G3 Genes Genomes Genetics. 8(8). 2563–2572. 23 indexed citations
8.
Sun, Shangpeng, Changying Li, Andrew H. Paterson, et al.. (2018). In-field High Throughput Phenotyping and Cotton Plant Growth Analysis Using LiDAR. Frontiers in Plant Science. 9. 16–16. 165 indexed citations
9.
Jiang, Yu, Changying Li, Andrew H. Paterson, et al.. (2018). Quantitative Analysis of Cotton Canopy Size in Field Conditions Using a Consumer-Grade RGB-D Camera. Frontiers in Plant Science. 8. 2233–2233. 38 indexed citations
10.
Sun, Shangpeng, Changying Li, Andrew H. Paterson, Yu Jiang, & Jon S. Robertson. (2018). <i>3D computer vision and machine learning based technique for high throughput cotton boll mapping under field conditions </i>. 2018 Detroit, Michigan July 29 - August 1, 2018. 5 indexed citations
11.
Xu, Rui, Changying Li, Andrew H. Paterson, et al.. (2018). Aerial Images and Convolutional Neural Network for Cotton Bloom Detection. Frontiers in Plant Science. 8. 94 indexed citations
12.
Lee, Tae‐Ho, et al.. (2016). Plant Genome Duplication Database. Methods in molecular biology. 1533. 267–277. 29 indexed citations
13.
Zhang, Dong, et al.. (2015). Genetic analysis of inflorescence and plant height components in sorghum (Panicoidae) and comparative genetics with rice (Oryzoidae). BMC Plant Biology. 15(1). 107–107. 58 indexed citations
14.
Ratnaparkhe, Milind B., Tae‐Ho Lee, Xu Tan, et al.. (2014). Comparative and Evolutionary Analysis of Major Peanut Allergen Gene Families. Genome Biology and Evolution. 6(9). 2468–2488. 10 indexed citations
15.
Kim, Changsoo, et al.. (2012). A genome-wide BAC end-sequence survey of sugarcane elucidates genome composition, and identifies BACs covering much of the euchromatin. Plant Molecular Biology. 81(1-2). 139–147. 13 indexed citations
16.
Zhang, Dong, Hui Guo, Changsoo Kim, et al.. (2012). CSGRqtl, a Comparative Quantitative Trait Locus Database for Saccharinae Grasses. PLANT PHYSIOLOGY. 161(2). 594–599. 23 indexed citations
17.
McKinley, Enid T., Mark W. Jackwood, Deborah A. Hilt, et al.. (2011). Attenuated live vaccine usage affects accurate measures of virus diversity and mutation rates in avian coronavirus infectious bronchitis virus. Virus Research. 158(1-2). 225–234. 53 indexed citations
18.
Jackwood, Mark W., Enid T. McKinley, Sharmi Thor, et al.. (2011). Changes in nonstructural protein 3 are associated with attenuation in avian coronavirus infectious bronchitis virus. Virus Genes. 44(1). 63–74. 26 indexed citations
19.
Jackwood, Mark W., Tye O. Boynton, Deborah A. Hilt, et al.. (2009). Emergence of a group 3 coronavirus through recombination. Virology. 398(1). 98–108. 101 indexed citations
20.
Wicker, Thomas, Jon S. Robertson, Stefan Schulze, et al.. (2004). The repetitive landscape of the chicken genome. Genome Research. 15(1). 126–136. 143 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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